This paper is in the following e-collection/theme issue:

Artificial Intelligence (1198) Heart Failure Self-Management (138) Clinical Information and Decision Making (1328) Machine Learning (1385) Decision Support for Health Professionals (1137) Intensive Care Unit (ICU) (101) Clinical Informatics (912) Secondary Use of Clinical Data for Research and Surveillance (320)

Published on in Vol 24, No 8 (2022): August

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/38082, first published .
Predicting Mortality in Intensive Care Unit Patients With Heart Failure Using an Interpretable Machine Learning Model: Retrospective Cohort Study

Predicting Mortality in Intensive Care Unit Patients With Heart Failure Using an Interpretable Machine Learning Model: Retrospective Cohort Study

Predicting Mortality in Intensive Care Unit Patients With Heart Failure Using an Interpretable Machine Learning Model: Retrospective Cohort Study

Authors of this article:

Jili Li1 Author Orcid Image ;   Siru Liu2 Author Orcid Image ;   Yundi Hu3 Author Orcid Image ;   Lingfeng Zhu4 Author Orcid Image ;   Yujia Mao1 Author Orcid Image ;   Jialin Liu5 Author Orcid Image
Article Authors Cited by (28) Tweetations (6) Metrics

Altmetric

Altmetric discovers Social Media mentions. Click the ‘See more details’ link for a full report.

Dimensions

Dimensions discovers Citations. Click the ‘details’ link for a full report.

Metrics Since Publication

Download .csv
Daily | Monthly | Annually